Biometric systems are considered as human pattern recognition systems that can be used for individual identification and verification. The decision on the authenticity is done with the help of some specific measurable physiological or behavioral characteristics possessed by the individuals. Robust architecture of any biometric system provides very good performance of the system against rotation, translation, scaling effect and deformation of the image on the image plane. Further, there is a need of development of real-time biometric system. There exist many graph matching techniques used to design robust and real-time biometrics systems. This paper discusses two graph matching techniques that have been successfully used in face biometric traits.
목차
Abstract 1. Introduction 2. Preliminaries 2.1. Scale Invariant Feature Transform (SIFT) Descriptor 2.2. Correspondence Graph Definitions 2.3. Probabilistic Relaxation Graph 3. Face Recognition using Complete Graph Topology 3.1 Gallery Image based Match Constraint 3.2. Reduced Point based Match Constraint 3.3. Regular Grid based Match Constraint 3.4. Weighting the Score Reliability 3.5. Fusion of Matching Scores 4. Face Recognition using Probabilistic Relaxation Graph 4.1 Fusion of Matching Scores 5. Experimental Results 5.1 Experimental Results Determined from Complete Graph based Matching 5.2 Experimental Results Determined from Probabilistic Graph Matching 6. Conclusion References
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.5 No.4